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  1. README.md +29 -21
README.md CHANGED
@@ -16,8 +16,7 @@ language:
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  - sv
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  - tr
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  - zh
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- license:
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- - unknown
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  multilinguality:
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  - multilingual
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  size_categories:
@@ -1051,10 +1050,10 @@ dataset_info:
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  ## Dataset Description
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  - **Homepage:** https://opus.nlpl.eu/infopankki/corpus/version/infopankki
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- - **Repository:**
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- - **Paper:**
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- - **Leaderboard:**
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- - **Point of Contact:**
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  ### Dataset Summary
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@@ -1092,7 +1091,7 @@ The underlying task is machine translation.
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  #### Initial Data Collection and Normalization
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- [More Information Needed]
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  #### Who are the source language producers?
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@@ -1134,26 +1133,35 @@ The underlying task is machine translation.
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  ### Licensing Information
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- [More Information Needed]
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  ### Citation Information
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  ```
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- @InProceedings{TIEDEMANN12.463,
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- author = {J�rg Tiedemann},
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- title = {Parallel Data, Tools and Interfaces in OPUS},
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- booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
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- year = {2012},
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- month = {may},
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- date = {23-25},
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- address = {Istanbul, Turkey},
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- editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
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- publisher = {European Language Resources Association (ELRA)},
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- isbn = {978-2-9517408-7-7},
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- language = {english}
 
 
 
 
 
 
 
 
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  }
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  ```
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  ### Contributions
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- Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.
 
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  - sv
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  - tr
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  - zh
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+ license: cc-by-4.0
 
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  multilinguality:
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  - multilingual
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  size_categories:
 
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  ## Dataset Description
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  - **Homepage:** https://opus.nlpl.eu/infopankki/corpus/version/infopankki
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+ - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ - **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  ### Dataset Summary
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  #### Initial Data Collection and Normalization
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+ Source: http://www.infopankki.fi via the Open Data API
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  #### Who are the source language producers?
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  ### Licensing Information
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+ Licensed under [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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  ### Citation Information
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+ If you use any part of the corpus in your own work, please cite the following article:
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  ```
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+ @inproceedings{tiedemann-2012-parallel,
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+ title = "Parallel Data, Tools and Interfaces in {OPUS}",
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+ author = {Tiedemann, J{\"o}rg},
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+ editor = "Calzolari, Nicoletta and
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+ Choukri, Khalid and
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+ Declerck, Thierry and
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+ Do{\u{g}}an, Mehmet U{\u{g}}ur and
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+ Maegaard, Bente and
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+ Mariani, Joseph and
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+ Moreno, Asuncion and
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+ Odijk, Jan and
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+ Piperidis, Stelios",
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+ booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
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+ month = may,
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+ year = "2012",
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+ address = "Istanbul, Turkey",
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+ publisher = "European Language Resources Association (ELRA)",
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+ url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
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+ pages = "2214--2218",
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+ abstract = "This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.",
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  }
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  ```
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  ### Contributions
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+ Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.